A model for evaluating production and environmental performance of kenaf in rotation with conventional row crops-Reference-Cited by-同舟云学术

A model for evaluating production and environmental performance of kenaf in rotation with conventional row crops

Published:2017-06 Issue: Volume:100 Page:218-227
ISSN:0926-6690
Container-title:Industrial Crops and Products
language:en
Short-container-title:Industrial Crops and Products

Author:

Bourguignon Marie,Archontoulis Sotirios,Moore Kenneth,Lenssen Andrew

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference59 articles.

1. BIOKENAF: a network for industrial products and biomass for energy from kenaf, Biomass for energy, industry and climate protection;Alexopoulou;Proceedings of the 2nd World Biomass Conference,2004

2. New insights from the biokenaf project;Alexopoulou,2013

3. Nitrogen use in durum and selected Brassicaceae oilseeds in two-year rotations;Allen;Agron. J.,2014

4. Sorghum and kenaf biomass yield and quality response to nitrogen fertilization in the Northern Great Plains of the USA;Anfinrud;Ind. Crops Prod.,2013

5. Screening of kenaf (Hibiscus cannabinus L.) genotypes for low temperature requirements during germination and evaluation of feasibility of seed production in Italy;Angelini;Field Crops Res.,1998

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kenaf bast nanocrystalline cellulose: Analysis of morphological, chemical, crystalline, and thermal;BioResources;2023-08-08

2. Soil organic carbon dynamics in multipurpose cropping systems;Industrial Crops and Products;2022-11

3. LAI and biomass of kenaf as affected by sowing time and plant density: A simple model simulates the time course in a Mediterranean environment;Industrial Crops and Products;2022-09

4. Agricultural practice contributed more to changes in soybean yield than climate change from 1981 to 2010 in n ortheast C hina;Journal of the Science of Food and Agriculture;2021-10-28

5. A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM;Agricultural Systems;2019-08